Ashmeet is the Founder and Chief Engineer of Engineering Capital. Investing before traditional venture firms, Engineering Capital specializes in leading seed rounds in software companies with a technical insight. Ashmeet’s experience includes running venture capital funds and leadership positions helping build the industry leading products VMware ESX Server and Silicon Graphics WebFORCE.

Ashmeet came to venture from VMware, where he ran product management for their flagship product – ESX Server. His successful investments include Azure (IPO AZRE), Rubrik (IPO RBRK), SignalFx, acquired by Splunk, Tubi.tv, acquired by FOX, AirGap, acquired by ZScaler, Robust Intelligence acquired by Cisco etc. He serves on the Board of Directors of Evinced, Nexla, Tapistro and WideField. His other investments include Asimily, CtrlStack, Kentik, Kognitos, Menlo Security, vFunction, and Xano – in all of which he was the seed investor.

Ashmeet received an MBA from Wharton with Honors, MS in Computer Science from Stanford University, and a BS in Computer Science summa cum laude from the University of Southern California. In his spare-time he can be found planning his second trip to Mt. Everest.

I am an engineering leader with over 20 years of experience in building and managing high-performing teams, architecting low-latency, scalable systems, and delivering data-driven solutions across multiple industries, such as digital advertising, financial services, and healthcare. I have a Six Sigma Black Belt certification and a strong combination of business and product skills.

Currently, I am the co-founder and CTO of Nexla, a fundamentally new approach to data management. I designed and built an infinitely scalable, container-based architecture with a continuous intelligence core. Our users get a first-of-its-kind collaborative, self-service system that automates the entire data cycle of integration, preparation, operations, quality, cataloging, discovery, and exchange. My specialties include big data, cloud computing, machine learning, and forecasting models. I also co-authored the first version of the Open RTB Native Advertising spec, a standard for transacting native ads across the programmatic ecosystem.

17+ years in the field of Life Sciences & tech. Worked in Consulting, Pharma, CRO and Tech. Lived and worked in India, Sweden, Canada & US. Managed multiethnic and cross geographical/functional teams. Energetic, driven, motivated with an entrepreneurial mindset. Adept at creating strategic alliances with organizational leaders to effectively align and support key business initiatives.
Winner of Gartner Award in 2020 for Innovative use of an Emerging Technology in Pharma and Life Sciences

Passionate about the intersection of technology and life sciences, I write about Generative AI, quantum computing, and data-driven innovation in healthcare and drug discovery. With a keen eye on emerging trends, I break down complex topics—from diffusion models to geospatial analytics—into actionable insights for executives, researchers, and tech enthusiasts.

Joe Reis, a “recovering data scientist” with 20 years in the data industry, is the co-author of the best-selling O’Reilly book, “Fundamentals of Data Engineering.” He’s also the instructor for the wildly popular Data Engineering Professional Certificate on Coursera, in partnership with DeepLearning.ai and AWS.

Joe’s extensive experience encompasses data engineering, data architecture, machine learning, and more. He regularly keynotes major data conferences globally, advises and invests in innovative data product companies, writes at Practical Data Modeling and his personal blog, and hosts the popular data podcasts “The Monday Morning Data Chat” and “The Joe Reis Show.” In his free time, Joe is dedicated to writing new books and articles and thinking of ways to advance the data industry.

Lee Davidson is an accomplished Chief Data and AI Officer recognized for pioneering data-driven growth strategies in financial services. As the former Chief Data and Analytics Officer at Morningstar, Lee led a global organization driving the company’s data and AI initiatives, including commercializing generative AI products and achieving substantial operational efficiencies.

In 2024, Lee was named among DataIQ’s Top 100 Data Leaders in the USA, a testament to his leadership in the analytics and AI space. Lee’s thought leadership on enterprise AI adoption and data analytics has been featured in the media, including Forbes and Financial Times.

I have 25 years of experience in private equity, consulting and operational leadership roles. As an Operating Partner at Berkshire Partners, I collaborate with our portfolio company management teams on priority value creation initiatives, aimed at accelerating growth and delivering operational excellence. Berkshire Partners is a multi-sector specialist investor in private and public equity. The firm’s private equity team invests in well-positioned, growing companies across technology & communications, consumer, healthcare, and services & industrials. The firm’s public equity group, Stockbridge manages a concentrated portfolio, seeking attractive long-term investments. The firm’s Stockbridge and Private Equity teams frequently collaborate across sectors

Prior to Berkshire, I led Strategy and M&A for the Singtel Group. Singtel is Asia’s leading communications group and provides a diverse range of services including fixed, mobile, ICT and digital solutions. The group in partnership with its affiliates serves ~700 million mobile customers globally.

Saket Saurabh is the Co-founder and CEO of Nexla, industry’s most advanced integration platform that is built with AI, for AI. Saket started his career as an engineer, creating accelerated computing technology at NVIDIA as part of a small innovation team. Thereafter he took to data scaling as founder at mobile ad-serving pioneer Mobsmith, ultimately taking it through acquisition and IPO. Driven by a passion to simplify the lives of data users, he founded Nexla, driving cutting edge innovation in data engineering, winning Gartner Cool Vendor and acquiring customers like Doordash, JnJ, and American Express.

Saket holds an MBA from The Wharton School and a BTech in Computer Science & Engineering from IIT (Indian Institute of Technology), Kanpur. He lives in the Bay area with his data expert wife and three kids.

Known for her balance of visionary thinking (“The Art of the Possible”) and pragmatic solutions (“The Art of the Practical”) Sol has a knack for driving innovation while helping companies stay grounded in their mission.

Sol is currently the ‘Head of Technology, North America’ for Amazon’s Startup Division – where they have 63% market share. Prior to that, Sol held former roles like CAO, CDO, CDAO, and CDAIO for giants like Estee Lauder, Merck Pharmaceuticals, Sony Music, and Royal Caribbean. She also helped IBM launch Watson in 2011, the world’s 1st commercial and enterprise grade AI application. Having been in the Data space for over 25+ years, the AI space for 13+ years, and the tech space for 20+ Years, Sol has the ability to scale operations and amplify market impact by combining the latest advents with tried and true technology, business acumen, and what is better known as “the soft skills”.

Sol is also a global keynote speaker and Best-Selling Author of “Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World Deployments”

Visit Sol’s website

An accomplished Product and Technology leader passionate about driving AI / GenAI / digital led experiences, growth and business transformation. Deep cross-functional experience building scaled enterprise AI/ML platforms and customer experiences, leading billion-dollar B2C businesses, and driving product and growth operations at Fortune 10 technology and financial companies. Technical hands-on executive with proven impact in leadership roles at Google, JP Morgan, McKinsey and Venture.